Benchmarking Deep Neural Networks for Modern Recommendation Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Bahi, Abderaouf, Mouiche, Inoussa, Gasmi, Ibtissem |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
by: Bahi, Abderaouf, et al.
Published: (2026)
by: Bahi, Abderaouf, et al.
Published: (2026)
FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
by: Bahi, Abderaouf, et al.
Published: (2026)
by: Bahi, Abderaouf, et al.
Published: (2026)
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
by: Gasmi, Houssem, et al.
Published: (2024)
by: Gasmi, Houssem, et al.
Published: (2024)
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Eco-Aware Graph Neural Networks for Sustainable Recommendations
by: Purificato, Antonio, et al.
Published: (2024)
by: Purificato, Antonio, et al.
Published: (2024)
BERT and CNN integrated Neural Collaborative Filtering for Recommender Systems
by: Munem, Abdullah Al, et al.
Published: (2025)
by: Munem, Abdullah Al, et al.
Published: (2025)
AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
by: Shang, Yu, et al.
Published: (2025)
by: Shang, Yu, et al.
Published: (2025)
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
by: Liu, Yuxi, et al.
Published: (2024)
by: Liu, Yuxi, et al.
Published: (2024)
When Box Meets Graph Neural Network in Tag-aware Recommendation
by: Lin, Fake, et al.
Published: (2024)
by: Lin, Fake, et al.
Published: (2024)
NaviGNN: Multi-Agent Reinforcement Learning and Graph Neural Network for Sustainable Mobility in Futuristic Smart Cities
by: Bahi, Abderaouf, et al.
Published: (2025)
by: Bahi, Abderaouf, et al.
Published: (2025)
FedSlate:A Federated Deep Reinforcement Learning Recommender System
by: Deng, Yongxin, et al.
Published: (2024)
by: Deng, Yongxin, et al.
Published: (2024)
Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
by: Latif, Rafayel, et al.
Published: (2025)
by: Latif, Rafayel, et al.
Published: (2025)
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)
by: Zhang, Sheng, et al.
Published: (2024)
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Hierarchical Structured Neural Network: Efficient Retrieval Scaling for Large Scale Recommendation
by: Rangadurai, Kaushik, et al.
Published: (2024)
by: Rangadurai, Kaushik, et al.
Published: (2024)
E-commerce Webpage Recommendation Scheme Base on Semantic Mining and Neural Networks
by: Zhao, Wenchao, et al.
Published: (2024)
by: Zhao, Wenchao, et al.
Published: (2024)
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
by: Wang, Xianquan, et al.
Published: (2025)
by: Wang, Xianquan, et al.
Published: (2025)
DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation
by: Lv, Zhihao, et al.
Published: (2026)
by: Lv, Zhihao, et al.
Published: (2026)
DQRM: Deep Quantized Recommendation Models
by: Zhou, Yang, et al.
Published: (2024)
by: Zhou, Yang, et al.
Published: (2024)
AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
by: Shi, Yunxiao, et al.
Published: (2026)
by: Shi, Yunxiao, et al.
Published: (2026)
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
by: Han, Jinkun, et al.
Published: (2025)
by: Han, Jinkun, et al.
Published: (2025)
Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks
by: Zhao, Yushang, et al.
Published: (2025)
by: Zhao, Yushang, et al.
Published: (2025)
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
by: Tian, Jiahao, et al.
Published: (2025)
by: Tian, Jiahao, et al.
Published: (2025)
Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
by: Le, Ngoc Luyen, et al.
Published: (2025)
by: Le, Ngoc Luyen, et al.
Published: (2025)
A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model
by: Xiang, Ao, et al.
Published: (2024)
by: Xiang, Ao, et al.
Published: (2024)
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
by: Xie, Xiangjin, et al.
Published: (2025)
by: Xie, Xiangjin, et al.
Published: (2025)
Better Late Than Never: Formulating and Benchmarking Recommendation Editing
by: Lai, Chengyu, et al.
Published: (2024)
by: Lai, Chengyu, et al.
Published: (2024)
Looking for Fairness in Recommender Systems
by: Logé, Cécile
Published: (2025)
by: Logé, Cécile
Published: (2025)
GPRec: Bi-level User Modeling for Deep Recommenders
by: Wang, Yejing, et al.
Published: (2024)
by: Wang, Yejing, et al.
Published: (2024)
Rank-Constrained Deep Matrix Completion for Group Recommendation
by: Ibrahim, Mubaraka Sani, et al.
Published: (2026)
by: Ibrahim, Mubaraka Sani, et al.
Published: (2026)
JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation
by: Yang, Ke, et al.
Published: (2025)
by: Yang, Ke, et al.
Published: (2025)
SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models
by: Li, Jianhong, et al.
Published: (2026)
by: Li, Jianhong, et al.
Published: (2026)
DeepShop: A Benchmark for Deep Research Shopping Agents
by: Lyu, Yougang, et al.
Published: (2025)
by: Lyu, Yougang, et al.
Published: (2025)
Request-Only Optimization for Recommendation Systems
by: Guo, Liang, et al.
Published: (2025)
by: Guo, Liang, et al.
Published: (2025)
TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
by: Chen, Yiwen, et al.
Published: (2025)
by: Chen, Yiwen, et al.
Published: (2025)
Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)
by: Wang, Maolin, et al.
Published: (2023)
Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
Similar Items
-
MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
by: Bahi, Abderaouf, et al.
Published: (2026) -
FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
by: Bahi, Abderaouf, et al.
Published: (2026) -
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
by: Gasmi, Houssem, et al.
Published: (2024) -
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024) -
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)